vowel.arff

一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genet

Train,Jo,Female,-4.216,3.638,0.192,-0.023,-1.231,-0.32,0.128,1.03,0.061,-0.179,hod
Train,Jo,Female,-4.077,2.542,0.039,0.082,0.218,0.393,0.324,0.399,-0.658,-0.964,hUd
Train,Jo,Female,-4.544,3.046,1.028,-0.016,0.447,0.884,-0.094,0.885,-0.459,-1.099,hud
Train,Jo,Female,-2.711,0.971,-0.023,0.053,0.101,-0.148,0.382,0.476,-1.05,-0.256,hed
Train,Kate,Female,-3.322,-0.303,-0.5,0.963,0.921,0.981,1.059,-1.079,-1.004,0.112,hid
Train,Kate,Female,-3.844,1.056,-0.19,1.685,0.617,1.245,-0.811,-0.506,-1.128,0.076,hId
Train,Kate,Female,-2.665,0.772,-1.009,1.307,0.287,0.855,-0.466,-0.19,-0.721,0.407,hEd
Train,Kate,Female,-2.493,1.382,-0.929,0.465,-0.369,0.002,0.187,-0.696,-0.31,0.348,hAd
Train,Kate,Female,-2.905,2.311,-0.658,0.022,-1.121,0.25,0.467,0.484,-0.157,-0.676,hYd
Train,Kate,Female,-2.685,1.971,-0.857,0.033,-0.638,0.484,0.143,0.159,-0.218,-0.343,had
Train,Kate,Female,-3.389,2.762,-0.71,-0.026,-0.641,0.112,0.775,0.443,-0.11,-0.979,hOd
Train,Kate,Female,-4.243,3.354,-0.415,0.898,-1.027,-0.281,0.576,0.48,0.564,-0.085,hod
Train,Kate,Female,-3.741,2.7,-1.593,0.782,-0.298,1.378,0.184,1.458,-0.134,-1.297,hUd
Train,Kate,Female,-4.694,3.229,-1.153,0.702,0.452,0.298,0.454,0.001,-0.264,-1.399,hud
Train,Kate,Female,-3.012,1.628,-0.834,0.975,-0.299,0.926,0.174,0.836,-0.239,-1.144,hed
Train,Kate,Female,-3.268,-0.079,-0.693,0.763,1.043,1.194,0.892,-1.293,-1.033,0.199,hid
Train,Kate,Female,-3.618,0.916,-0.4,1.771,0.666,1.535,-0.389,-0.342,-1.279,-0.109,hId
Train,Kate,Female,-2.693,0.771,-0.87,1.341,0.317,0.925,-0.328,-0.169,-0.936,0.399,hEd
Train,Kate,Female,-2.515,1.34,-0.84,0.511,-0.492,0.098,0.047,-0.68,-0.283,0.168,hAd
Train,Kate,Female,-2.882,2.165,-0.589,0.173,-1.165,0.014,0.571,0.502,-0.093,-0.616,hYd
Train,Kate,Female,-2.591,1.809,-0.659,-0.016,-0.673,0.588,0.084,0.182,-0.094,-0.372,had
Train,Kate,Female,-3.354,2.85,-0.887,0.01,-0.551,0.293,0.901,0.32,-0.302,-1.023,hOd
Train,Kate,Female,-4.228,3.111,-0.38,1.16,-1.188,-0.362,0.516,0.507,0.669,-0.074,hod
Train,Kate,Female,-3.901,2.485,-0.95,0.702,-0.47,1.146,-0.109,1.597,0.146,-1.197,hUd
Train,Kate,Female,-4.708,3.269,-1.121,0.701,0.437,0.176,0.552,0.004,-0.168,-1.484,hud
Train,Kate,Female,-3,1.524,-0.866,1.015,-0.4,0.861,0.174,0.938,-0.216,-1.01,hed
Train,Kate,Female,-3.347,-0.159,-0.414,0.922,0.973,0.978,0.929,-1.211,-1.268,0.278,hid
Train,Kate,Female,-3.518,0.716,-0.365,1.788,0.584,1.678,-0.109,-0.016,-1.501,0.002,hId
Train,Kate,Female,-2.875,0.868,-0.728,1.439,0.355,0.846,-0.378,-0.233,-1.072,0.505,hEd
Train,Kate,Female,-2.612,1.403,-0.87,0.47,-0.448,0.172,-0.06,-0.656,-0.334,0.087,hAd
Train,Kate,Female,-2.859,2.255,-0.676,0.098,-1.086,0.041,0.732,0.305,-0.141,-0.636,hYd
Train,Kate,Female,-2.497,1.692,-0.607,0.02,-0.71,0.612,0.093,0.272,-0.06,-0.507,had
Train,Kate,Female,-3.236,2.745,-0.806,-0.2,-0.386,0.358,0.889,0.516,-0.297,-1.075,hOd
Train,Kate,Female,-4.188,3.229,-0.456,1.077,-1.385,-0.104,0.459,0.558,0.701,-0.32,hod
Train,Kate,Female,-3.775,2.188,-1.017,0.687,-0.464,1.189,-0.157,1.673,-0.024,-1.144,hUd
Train,Kate,Female,-4.744,3.385,-0.886,0.571,0.235,0.183,0.357,0.04,0.203,-1.68,hud
Train,Kate,Female,-3.046,1.462,-0.823,0.935,-0.44,0.849,0.085,0.865,-0.178,-0.954,hed
Train,Kate,Female,-3.594,-0.137,-0.028,1.018,1.069,0.723,0.695,-0.982,-1.433,0.249,hid
Train,Kate,Female,-3.426,0.584,-0.469,1.776,0.566,1.686,0.07,0.081,-1.483,-0.141,hId
Train,Kate,Female,-3.086,1.01,-0.627,1.508,0.338,0.747,-0.479,-0.323,-1.087,0.645,hEd
Train,Kate,Female,-2.75,1.475,-0.848,0.364,-0.275,0.02,-0.003,-0.782,-0.291,0.167,hAd
Train,Kate,Female,-2.846,2.43,-0.78,-0.153,-0.905,0.24,0.746,0.14,-0.114,-0.746,hYd
Train,Kate,Female,-2.511,1.511,-0.555,0.226,-0.735,0.631,-0.006,0.52,-0.138,-0.651,had
Train,Kate,Female,-3.124,2.733,-0.857,-0.334,-0.312,0.587,0.849,0.475,-0.174,-0.899,hOd
Train,Kate,Female,-4.175,3.32,-0.446,0.988,-1.48,0.133,0.507,0.605,0.691,-0.462,hod
Train,Kate,Female,-3.777,2.064,-0.983,0.846,-0.373,0.96,-0.04,1.331,0.247,-1.09,hUd
Train,Kate,Female,-4.788,3.632,-0.71,0.3,0.366,-0.121,0.403,-0.016,0.124,-1.32,hud
Train,Kate,Female,-3.006,1.407,-0.875,0.945,-0.495,0.721,0.212,0.75,-0.037,-1.054,hed
Train,Kate,Female,-3.781,-0.011,0.102,1.115,1.036,0.651,0.615,-1.082,-1.272,0.05,hid
Train,Kate,Female,-3.394,0.557,-0.573,1.704,0.608,1.644,0.109,0.2,-1.507,-0.225,hId
Train,Kate,Female,-3.091,0.935,-0.574,1.36,0.416,0.764,-0.48,-0.144,-1.295,0.696,hEd
Train,Kate,Female,-2.85,1.446,-0.792,0.482,-0.365,0.046,-0.029,-0.761,-0.251,0.113,hAd
Train,Kate,Female,-2.884,2.424,-0.764,-0.108,-1.015,0.361,0.712,0.133,-0.017,-0.847,hYd
Train,Kate,Female,-2.656,1.263,-0.527,0.464,-0.612,0.668,-0.16,0.857,-0.416,-0.596,had
Train,Kate,Female,-3.246,2.796,-0.867,-0.205,-0.316,0.808,0.824,0.062,-0.118,-0.749,hOd
Train,Kate,Female,-4.172,3.188,-0.375,1.028,-1.41,0.008,0.513,0.635,0.802,-0.28,hod
Train,Kate,Female,-3.862,1.801,-0.717,1.133,-0.23,0.922,-0.223,1.264,0.194,-0.935,hUd
Train,Kate,Female,-4.836,3.871,-0.684,0.182,0.349,-0.176,0.317,0.059,-0.024,-1.13,hud
Train,Kate,Female,-2.973,1.304,-0.849,0.984,-0.508,0.59,0.248,0.728,0.073,-1.107,hed
Train,Kate,Female,-3.858,0.115,0.05,1.17,0.975,0.703,0.585,-1.191,-1.172,-0.076,hid
Train,Kate,Female,-3.404,0.506,-0.591,1.627,0.66,1.456,0.068,0.381,-1.494,-0.453,hId
Train,Kate,Female,-2.952,0.777,-0.74,1.311,0.424,0.853,-0.319,-0.082,-1.456,0.616,hEd
Train,Kate,Female,-3.005,1.472,-0.716,0.535,-0.392,0.054,-0.054,-0.686,-0.29,0.153,hAd
Train,Kate,Female,-2.898,2.421,-0.81,-0.043,-1.164,0.448,0.69,0.218,-0.078,-0.876,hYd
Train,Kate,Female,-2.906,1.102,-0.491,0.575,-0.386,0.771,-0.134,0.977,-0.54,-0.604,had
Train,Kate,Female,-3.462,2.648,-0.447,0,-0.416,0.767,0.569,-0.072,-0.08,-0.798,hOd
Train,Kate,Female,-4.076,3.336,-0.688,0.677,-1.472,0.461,0.682,0.724,0.717,-0.409,hod
Train,Kate,Female,-3.846,1.426,-0.607,1.434,-0.072,1.13,-0.535,1.159,-0.123,-0.385,hUd
Train,Kate,Female,-4.885,3.967,-0.948,0.373,0.255,-0.121,0.43,-0.013,0.018,-1.518,hud
Train,Kate,Female,-2.98,1.29,-0.842,0.955,-0.491,0.572,0.267,0.692,0.084,-1.1,hed
Train,Penny,Female,-3.208,-0.608,-0.516,1.098,1.529,1.069,0.186,-0.947,-0.248,-0.059,hid
Train,Penny,Female,-2.569,-0.11,-0.841,0.732,1.112,0.961,-0.075,0.148,-0.893,0.314,hId
Train,Penny,Female,-2.21,0.661,-0.581,1.139,0.238,0.074,-0.625,-0.366,-0.326,0.557,hEd
Train,Penny,Female,-1.885,2.214,-0.673,0.147,-0.148,-0.4,0.252,-0.098,-0.874,0.245,hAd
Train,Penny,Female,-2.488,2.822,-0.239,-0.33,-1.355,0.284,0.101,0.934,-0.966,-0.31,hYd
Train,Penny,Female,-2.335,2.896,-0.295,-0.42,-0.645,0.351,0.12,0.447,-1.126,0.11,had
Train,Penny,Female,-2.715,2.325,0.701,0.239,-1.426,-0.218,-0.317,1.516,-0.162,-0.703,hOd
Train,Penny,Female,-4.21,3.289,-0.106,-1.247,-0.683,0.539,0.579,0.832,-0.035,-0.764,hod
Train,Penny,Female,-3.984,2.29,-0.103,-0.707,0.297,0.317,0.857,1.403,-1.253,-0.298,hUd
Train,Penny,Female,-4.964,2.78,0.474,0.047,0.417,-0.328,0.334,0.474,-1.26,-0.221,hud
Train,Penny,Female,-2.528,1.288,-0.144,-0.171,-0.077,0.26,-0.045,0.681,-1.399,-0.066,hed
Train,Penny,Female,-3.431,-0.5,-0.362,1.173,1.59,0.956,0.162,-0.853,-0.364,0.084,hid
Train,Penny,Female,-2.659,-0.101,-0.687,0.697,1.081,1.045,-0.149,0.184,-0.927,0.327,hId
Train,Penny,Female,-2.103,0.655,-0.84,1.195,0.377,0.135,-0.504,-0.549,-0.404,0.602,hEd
Train,Penny,Female,-1.926,2.172,-0.571,0.257,-0.159,-0.493,0.27,-0.153,-0.673,-0.005,hAd
Train,Penny,Female,-2.512,2.826,-0.171,-0.385,-1.495,0.381,0.067,0.899,-0.902,-0.412,hYd
Train,Penny,Female,-2.353,2.897,-0.433,-0.193,-0.715,0.359,0.26,0.273,-1.206,0.36,had
Train,Penny,Female,-2.708,2.396,0.728,0.336,-1.437,-0.344,-0.411,1.469,-0.022,-0.717,hOd
Train,Penny,Female,-4.341,3.514,-0.453,-1.047,-0.469,0.51,0.618,0.801,-0.399,-0.777,hod
Train,Penny,Female,-4.045,2.193,0.2,-0.745,0.215,0.387,0.625,1.477,-1.207,-0.27,hUd
Train,Penny,Female,-5.02,2.551,0.562,-0.136,0.531,-0.064,0.373,0.631,-1.407,-0.267,hud
Train,Penny,Female,-2.665,1.633,-0.384,-0.111,-0.001,0.234,0.033,0.478,-1.558,0.219,hed
Train,Penny,Female,-3.586,-0.38,-0.359,1.307,1.587,0.99,0.18,-0.831,-0.471,0.198,hid
Train,Penny,Female,-2.889,-0.039,-0.494,0.719,1.104,1.003,-0.415,0.097,-0.855,0.356,hId
Train,Penny,Female,-2.282,0.673,-0.798,1.286,0.308,0.01,-0.411,-0.61,-0.266,0.584,hEd
Train,Penny,Female,-1.985,2.161,-0.601,0.424,-0.295,-0.489,0.208,-0.216,-0.562,0.079,hAd
Train,Penny,Female,-2.563,2.829,-0.283,-0.368,-1.593,0.408,0.121,0.933,-0.946,-0.356,hYd
Train,Penny,Female,-2.415,2.517,-0.285,0.085,-0.902,0.283,0.302,0.247,-1.207,0.371,had
Train,Penny,Female,-2.776,2.563,0.532,0.277,-1.47,-0.368,-0.278,1.479,-0.164,-0.797,hOd
Train,Penny,Female,-4.384,3.721,-0.905,-0.965,-0.16,0.498,0.809,0.66,-0.613,-0.831,hod
Train,Penny,Female,-4.107,2.17,0.206,-0.811,0.334,0.633,0.402,1.097,-1.327,-0.04,hUd
Train,Penny,Female,-5.069,2.119,0.826,-0.274,0.576,0.145,0.308,1.001,-1.412,-0.306,hud
Train,Penny,Female,-2.812,1.954,-0.661,0.109,-0.011,0.11,0.187,0.096,-1.538,0.592,hed
Train,Penny,Female,-3.76,-0.32,-0.24,1.273,1.751,1.125,0.23,-0.723,-0.501,0.315,hid
Train,Penny,Female,-3.152,0.086,-0.325,0.868,1.084,0.753,-0.522,-0.005,-0.821,0.483,hId
Train,Penny,Female,-2.558,0.755,-0.66,1.366,0.038,-0.011,-0.443,-0.531,-0.062,0.418,hEd
Train,Penny,Female,-2.01,2.164,-0.626,0.389,-0.24,-0.441,0.103,-0.27,-0.647,0.165,hAd
Train,Penny,Female,-2.601,2.735,-0.322,-0.255,-1.67,0.229,0.202,1.01,-0.871,-0.461,hYd
Train,Penny,Female,-2.521,2.271,-0.277,0.27,-0.909,0.274,0.348,-0.028,-1.177,0.432,had
Train,Penny,Female,-2.922,2.621,0.214,0.122,-1.477,-0.173,0.045,1.38,-0.635,-0.757,hOd
Train,Penny,Female,-4.417,3.765,-1.225,-0.853,0.041,0.536,0.885,0.533,-0.757,-0.789,hod
Train,Penny,Female,-4.07,2.254,-0.28,-0.722,0.696,0.683,0.243,0.689,-1.45,0.19,hUd
Train,Penny,Female,-5.08,2.241,0.971,-0.374,0.501,0.226,0.144,0.851,-1.319,-0.3,hud
Train,Penny,Female,-2.93,2.014,-0.7,0.206,-0.088,0.153,0.142,-0.031,-1.437,0.615,hed
Train,Penny,Female,-4.247,-0.034,0.248,1.372,1.831,1.167,0.087,-0.518,-0.316,0.347,hid
Train,Penny,Female,-3.183,0.154,-0.413,0.923,1.091,0.582,-0.447,-0.085,-0.904,0.693,hId
Train,Penny,Female,-2.514,0.558,-0.777,1.299,0.027,0.247,-0.487,-0.653,-0.028,0.481,hEd
Train,Penny,Female,-2.041,2.119,-0.585,0.549,-0.43,-0.291,-0.002,-0.234,-0.751,0.253,hAd
Train,Penny,Female,-2.64,2.704,-0.345,-0.23,-1.649,0.064,0.275,0.952,-0.651,-0.571,hYd
Train,Penny,Female,-2.729,2.104,-0.505,0.138,-0.533,0.455,0.148,-0.407,-1.059,0.625,had
Train,Penny,Female,-3.025,2.711,-0.147,-0.034,-1.34,0.049,0.364,1.099,-1.02,-0.652,hOd
Train,Penny,Female,-4.415,3.737,-1.313,-0.815,0.168,0.59,0.975,0.42,-0.825,-0.748,hod
Train,Penny,Female,-4.036,2.141,-0.355,-0.602,0.837,0.663,-0.013,0.507,-1.412,0.21,hUd
Train,Penny,Female,-5.158,2.488,1.064,-0.343,0.352,0.18,-0.05,0.817,-1.308,-0.249,hud
Train,Penny,Female,-2.907,1.992,-0.904,0.205,0.011,0.346,-0.031,-0.148,-1.262,0.487,hed
Train,Penny,Female,-4.687,0.406,0.889,1.464,1.618,1.021,-0.121,-0.398,-0.307,0.293,hid
Train,Penny,Female,-3.096,0.103,-0.452,0.879,1.067,0.497,-0.296,-0.067,-0.973,0.711,hId
Train,Penny,Female,-2.452,0.279,-0.805,1.141,0.239,0.176,-0.104,-0.752,-0.334,0.731,hEd
Train,Penny,Female,-2.081,2.043,-0.521,0.578,-0.463,-0.246,-0.041,-0.162,-0.814,0.425,hAd
Train,Penny,Female,-2.658,2.739,-0.382,-0.31,-1.64,0.081,0.276,0.884,-0.535,-0.548,hYd
Train,Penny,Female,-2.982,2.001,-0.915,0.188,0.035,0.467,-0.13,-0.689,-0.684,0.664,had
Train,Penny,Female,-3.098,2.525,-0.316,-0.322,-1.082,0.285,0.445,0.847,-0.951,-0.707,hOd
Train,Penny,Female,-4.403,3.602,-0.945,-0.934,0.041,0.409,1.003,0.47,-0.477,-0.621,hod
Train,Penny,Female,-4.2,2.201,-0.31,-0.392,0.968,0.7,-0.328,0.129,-0.896,0.15,hUd
Train,Penny,Female,-5.211,2.544,0.82,-0.333,0.447,0.226,0.127,0.89,-1.389,-0.304,hud
Train,Penny,Female,-2.752,1.778,-0.718,0.057,-0.009,0.402,0.121,0.05,-1.435,0.281,hed
Train,Rose,Female,-5.058,2.236,1.381,1.885,-0.259,-0.483,-0.562,0.123,-0.063,0.663,hid
Train,Rose,Female,-4.181,1.646,0.736,1.286,0.724,-0.511,-1.126,-0.45,-0.648,0.995,hId
Train,Rose,Female,-3.753,0.828,-0.042,1.406,0.209,-0.53,-0.52,-0.4,-0.386,1.07,hEd
Train,Rose,Female,-3.494,1.207,-0.607,0.242,-0.43,0.131,0.236,0.545,-0.593,0.678,hAd
Train,Rose,Female,-2.813,2.327,-1.246,-0.184,-0.755,0.491,1.202,-0.558,-0.669,0.054,hYd
Train,Rose,Female,-3.133,1.983,-1.398,0.254,-0.667,0.532,0.389,-0.178,-0.584,0.844,had
Train,Rose,Female,-3.749,3.018,-0.755,-0.452,-0.666,0.209,0.741,0.9,-1.613,0.128,hOd
Train,Rose,Female,-4.373,4.643,-0.792,-1.332,-0.202,0.597,0.192,1.133,-1.131,-0.28,hod
Train,Rose,Female,-4.468,4.121,-0.42,-1.197,0.338,0.6,-0.11,0.314,-1.248,-0.012,hUd
Train,Rose,Female,-4.902,4.49,-0.564,-0.536,-0.164,-0.298,0.842,-0.158,-0.906,0.358,hud
Train,Rose,Female,-4.125,2.3,-0.167,-0.27,0.103,0.32,-0.467,-0.254,-0.415,0.863,hed
Train,Rose,Female,-5.124,2.319,1.413,1.804,-0.277,-0.33,-0.746,0.221,0.06,0.46,hid
Train,Rose,Female,-4.393,2.137,0.57,1.397,0.293,-0.836,-0.966,-0.461,-0.277,1.184,hId
Train,Rose,Female,-3.961,1.078,0.11,1.232,0.21,-0.67,-0.536,-0.33,-0.268,1.098,hEd
Train,Rose,Female,-3.654,1.222,-0.574,0.248,-0.299,0.158,0.154,0.553,-0.58,0.617,hAd
Train,Rose,Female,-3.001,2.263,-1.178,-0.116,-0.922,0.536,1.286,-0.506,-0.566,-0.102,hYd
Train,Rose,Female,-3.417,1.984,-1.148,0.234,-0.778,0.411,0.494,0.13,-0.704,0.764,had
Train,Rose,Female,-3.887,3.172,-0.739,-0.69,-0.548,0.33,0.569,0.98,-1.609,0.283,hOd
Train,Rose,Female,-4.474,4.569,-1.069,-1.409,0.137,1.049,0.071,0.877,-1.355,-0.167,hod
Train,Rose,Female,-4.471,4.096,-0.809,-0.881,0.646,0.539,0.04,0.142,-1.555,-0.023,hUd
Train,Rose,Female,-4.947,4.637,-0.444,-0.953,-0.119,-0.249,0.594,0.27,-0.783,0.265,hud
Train,Rose,Female,-4.173,2.299,-0.298,-0.13,0.122,0.319,-0.388,-0.328,-0.48,0.99,hed
Train,Rose,Female,-5.131,2.192,1.364,1.936,-0.591,-0.354,-0.677,0.15,0.178,0.38,hid
Train,Rose,Female,-4.395,1.864,0.503,1.718,0.241,-0.817,-0.672,-0.687,-0.449,1.396,hId
Train,Rose,Female,-4.058,1.072,0.157,1.136,0.385,-0.687,-0.583,-0.185,-0.3,1.177,hEd
Train,Rose,Female,-3.631,1.195,-0.719,0.13,-0.065,0.348,-0.061,0.555,-0.594,0.806,hAd
Train,Rose,Female,-3.434,2.26,-1.065,-0.122,-0.795,0.363,1.403,-0.507,-0.375,0.015,hYd
Train,Rose,Female,-3.765,1.97,-0.955,0.304,-0.735,0.41,0.38,0.146,-0.536,0.738,had
Train,Rose,Female,-3.975,3.066,-0.506,-0.827,-0.478,0.434,0.356,0.939,-1.309,0.204,hOd
Train,Rose,Female,-4.497,4.5,-1.446,-1.127,0.443,0.986,0.136,0.597,-1.087,-0.073,hod
Train,Rose,Female,-4.475,4.064,-0.927,-0.678,0.599,0.445,0.224,0.103,-1.336,-0.192,hUd
Train,Rose,Female,-5.011,4.976,-0.868,-1.215,0.17,-0.018,0.543,0.154,-0.841,0.707,hud
Train,Rose,Female,-4.151,2.069,-0.605,0.111,0.41,0.354,-0.284,-0.381,-0.507,0.737,hed
Train,Rose,Female,-5.125,2.077,1.283,2.003,-0.734,-0.513,-0.557,0.055,0.295,0.269,hid
Train,Rose,Female,-4.316,1.409,0.441,1.819,0.5,-0.617,-0.633,-0.621,-0.671,1.193,hId
Train,Rose,Female,-4.149,1.129,-0.008,1.215,0.39,-0.474,-0.4,-0.343,-0.344,0.886,hEd
Train,Rose,Female,-3.581,1.188,-0.958,0.189,-0.077,0.451,0.049,0.449,-0.676,0.919,hAd
Train,Rose,Female,-3.828,2.367,-0.836,-0.343,-0.466,0.116,1.172,-0.175,-0.275,0.117,hYd
Train,Rose,Female,-3.82,1.705,-1.13,0.45,-0.471,0.665,0.298,-0.175,-0.473,0.848,had
Train,Rose,Female,-3.949,2.99,-0.643,-0.986,-0.175,0.768,0.249,0.803,-1.479,0.168,hOd
Train,Rose,Female,-4.471,4.461,-1.887,-0.799,0.719,0.938,0.239,0.342,-1.036,-0.06,hod
Train,Rose,Female,-4.58,4.116,-0.753,-0.849,0.516,0.498,0.117,0.181,-1.256,-0.119,hUd
Train,Rose,Female,-5.049,4.846,-0.678,-0.877,-0.09,0.005,0.253,-0.078,-0.178,0.131,hud